To strengthen the ideas highlighted in this survey and to make the claims valid, the main contributions made in recent years include MLR, SVM, MLP, RNN, LSTM, GRU, CNN-1D, CNN-2D, CNN-3D, and MorphCNN. Some of the representative works for each above are as follows; Cloud Implementation of Logistic Regression for HSIC [1]} (MLR), Classification of Hyperspectral Remote Sensing Images with SVM [2]}, (SVM), Deep Recurrent Neural Networks for HSIC [3]} (RNN), Long Short-Term Memory [4]} (LSTM), On the properties of Neural Machine Translation: Encoder-Decoder Approaches [5]} (GRU), Deep Convolutional Neural Networks for HSIC [6]} (CNN1D), Deep Supervised Learning for Hyperspectral Data Classification through Convolutional Neural Networks [7]} (CNN2D), 3-D Deep Learning Approach for Remote Sensing Image Classification [8]} (CNN3D), Morphological Convolutional Neural Networks for HSIC [9]} (MorphCNN), and MLP [10]}.
